Triple
T21766615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winifred Coe |
E537309
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Winifred Coe |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Winifred Coe | Statement: [Winifred Coe, name, Winifred Coe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winifred Coe Context triple: [Winifred Coe, name, Winifred Coe]
-
A.
Winifred Coe
chosen
Winifred Coe was the wife of American film actor Richard Dix, known primarily for her marriage to the prominent Hollywood star of the silent and early sound era.
-
B.
Eileen Soper
Eileen Soper was a British illustrator and etcher best known for her lively illustrations in Enid Blyton’s children’s books.
-
C.
Helene Evans
Helene Evans is known as the wife of American football wide receiver Mike Evans.
-
D.
Barbara Bowerman
Barbara Bowerman was the wife of legendary track coach and Nike co-founder Bill Bowerman and a supportive partner throughout his coaching and business career.
-
E.
Betty Cuthbert
Betty Cuthbert was an Australian sprinter renowned for winning four Olympic gold medals across the 100 m, 200 m, and 400 m events, earning her the nickname "The Golden Girl."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031aa9c888190887c5c1d1e3bab9f |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.